Algoritma Perhitungan Charge Occurrence Probability (COP) Pada Data Self Potensial
DOI:
https://doi.org/10.29303/jppfi.v1i1.13Abstract
Calculation Algorithm of Occurrence Probability (COP) of Self Potential Data. Self potential is often also called spontaneous potential is one of the geophysical methods that is based on the electrical properties of the material below the earth surface. Self potential arises due to the presence of electric charged of minerals that come in contact with electrolyte solutions around these minerals. Charge Occurrence Probability (COP) is one method of interpreting self potential data. The measurement of self potential on the surface is carried out using two porouspot electrodes made of copper which are immersed in copper sulfate or perusi. The COP calculation algorithm performed in this study is intended for users of the Matlab program. The research algorithm consists of two kinds, namely two-dimensional algorithm and 3-dimensional algorithm. Two-dimensional algorithm is performed on a line in a certain direction through the center of the anomaly. Three-dimensional algorithm is performed by the gridding method which is generated from the 2-dimensional calculation algorithm. Theoretically the resolution generated from this algorithm depends on the density of self potential data.
Â
Key Words: Self Potential, Spontaneous, Charge Occurrence Probality, COP
References
Amalia, M. 2017, Pemetaan Lingkungan Korosi Bawah Permukaan Menggunakan Metode Self Potential Bedasarkan Native Potential Pada Daerah Unit 7 Dan 8 Pt. Ipmomi, Skripsi, ITS.
Basid, A., Andrini, N., Arfiyaningsih, S. 2014, Pendugaan Reservoir Sistem Panas Bumi Dengan Menggunakan Survey Geolistrik, Resistivitas Dan Self Potensial (Studi Kasus: Daerah Manifestasi Panas Bumi di Desa Lombang, Kecamatan Batang-Batang, Sumenep), Jurnal Neutrino Vol. 7, No. 1 Oktober 2014
Indriana, R. D., Nurwidyanto, M.I., Haryono, K.W. 2007, Interpretasi Bawah Permukaan Dengan Metode Self Potential Daerah Bledug Kuwu Kradenan Grobogan, Berkala Fisika, ISSN: 1410 - 9662 Vol 10, No.3, Juli 2007 hal. 155-167.
Jouniaux, L., Maineult, A., Naudet, V., Pessel, M. Sailhac, P. 2009. Review of self-potential methods in hydrogeophysics, C. R. Geoscience 341 (2009) 928–936.
Lapenna, V., Lorenzo, P., Perrone, A., Piscitelli, S., Sdao, F., Rizzo, E. 2003. High-resolution geoelectrical tomographies in the study of Giarrossa landslide (southern Italy). Bull Eng Geol Env (2003) 62:259–268.
Mauriello, P., and Patella, D., 1999, Resistivity anomaly imaging by probability tomography, Geophysical Prospecting, 47, 411–429
Patella, D. 1997, Introduction to Ground Surface Self Potential Tomography. Geophysical Prospecting, 45, 653-681.
Patella, D. 1997, Self Potential Global Tomography Including Topographic Effect. Geophysical Prospecting, 45, 843-863.
Perronea, A., Iannuzzia, A., Lapennaa, V. Lorenzob, Piscitellia, S., Rizzoa, E., Sdao F. 2004, High-resolution electrical imaging of the Varco d’Izzo earthflow (southern Italy), Journal of Applied Geophysics 56 (2004) 17– 29.
Revil, A., Naudet, V., Nouzaret, J., Pessel, M., 2003, Principles of electrography applied to self-potential electrokinetic sources and hydrogeological applications. Water Resources Research, Vol. 39, No. 5, 1114
Febriani, S.D.A., Daniyati, R., 2017, Interpretasi Persebaran Mineral Pasir Besi Menggunakan Metode SP (Self Potential) di Desa Kepanjen, Seminar Nasional Hasil Penelitian 2017, ISBN: 978-602-14917-5-1
Wilen, Arman, Y., Putra, Y.S., 2013, Pemodelan Zona Patahan Berdasarkan Anomali Self Potensial (SP) Menggunakan Metode Simulated Annealing. PRISMA FISIKA, Vol. I, No. 3 (2013), Hal. 103- 109.